基于多源数据的武汉市环城游憩空间特征解析

随着经济社会发展和交通通信技术提高,大城市居民游憩空间从城市拓展到区域,环城游憩成为居民日常游憩的刚性需求和新常态,而大数据的应用为精准识别环城游憩的空间分布特征提供了可能。以武汉市中心城区环城游憩行为与空间分布为对象,采用手机信令数据、POI数据、遥感影像数据和地理统计数据等,运用空间分析方法,识别了游憩人口分布、游憩停留时长、游憩强度、游憩功能、游憩空间总体结构等基本特征及环城游憩资源与游憩强度匹配特征,为优化大城市郊区环城游憩空间、进行环城游憩实证分析提供依据。

Analysis of Recreational Spatial Features of Wuhan City Based on Multi-source Data

With the development of economy and the improvement of traffic and communication technologies, the recreational space of metropolitan residents expands from cities to regions, and the recreation around metropolis has become a rigid demand and a new normal for residents'' daily recreation. The application of big data provides the possibility to accurately identify the spatial distribution characteristics of recreation around city. Taking the circum-metropolis recreational behavior and spatial distribution of the resident population in Wuhan central city as the object, this paper uses spatial analysis methods to do the research with mobile phone signaling data, POI data, remote sensing image data and geostatistical data. The basic characteristics such as the distribution of recreational population, length of recreational stay, recreational intensity, recreational function, and overall structure of recreational space, as well as the matching characteristics of recreational resources and recreational intensity around city are identified, which provide a basis for optimizing the recreational space around city, as well as the empirical analysis of recreational activities around city.